An electronic synapse device based on aluminum nitride memristor for neuromorphic computing application-Reference-Cited by-同舟云学术

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An electronic synapse device based on aluminum nitride memristor for neuromorphic computing application

Published:2020-03-06 Issue:19 Volume:53 Page:195101
ISSN:0022-3727
Container-title:Journal of Physics D: Applied Physics
language:
Short-container-title:J. Phys. D: Appl. Phys.

Author:

Guo Yuanyang,Hu Wei^ORCID,Zhang Changgeng,Peng Yao,Guo Yongcai^ORCID

Funder

the Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Chongqing Research Program of Basic Research and Frontier Technology

Publisher

IOP Publishing

Subject

Surfaces, Coatings and Films,Acoustics and Ultrasonics,Condensed Matter Physics,Electronic, Optical and Magnetic Materials

Link

https://iopscience.iop.org/article/10.1088/1361-6463/ab7517/pdf

Reference39 articles.

1. All-memristive neuromorphic computing with level-tuned neurons

2. Memory and Information Processing in Neuromorphic Systems

3. Deep learning

4. Self-Aligned Memristor Cross-Point Arrays Fabricated with One Nanoimprint Lithography Step

5. Synaptic computation

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Resistive Switching Devices for Neuromorphic Computing: From Foundations to Chip Level Innovations;Nanomaterials;2024-03-15

2. Advancements in memory technologies for artificial synapses;Journal of Materials Chemistry C;2024

3. Diffusion of Nitrogen Vacancies in Crystalline Aluminum Nitride with the Wurzite Structure: Ab Initio Calculation;Nanobiotechnology Reports;2023-12

4. Pattern Recognition Accuracy Optimization of Unsupervised Spiking Neural Network Using Y-Doped AlN Memristors;IEEE Transactions on Electron Devices;2023-08

5. Generic analytical models of memelement and inverse memelement with time-dependent memory effects;COMPEL - The international journal for computation and mathematics in electrical and electronic engineering;2023-05-30

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